File content as of revision 0:f6cdb984f638:

#include "setup.hpp"

// mcsvmのセットアップ : サンプル/係数のセット
static void mcsvm_setup(void)
{
    FILE* svm_setup_fp;
    char buf_str[20];
    int ret, line;
    float buf_data[DIM_SIGNAL];

    float* tmp_sample = new float[MCSVM_NUM_SAMPLES * DIM_SIGNAL];
    int* tmp_sample_label = new int[MCSVM_NUM_SAMPLES];  
    float* tmp_mc_alpha = new float[MCSVM_NUM_SAMPLES * NUM_WEATHERS * (NUM_WEATHERS - 1) / 2];

    svm_setup_fp = fopen( "/local/svm_samp.csv" , "r" );
    if( svm_setup_fp == NULL ) {
        fprintf( stderr, "Error in svm setup : sample file cannot open. \r \n" );
        exit(1);
    }

    line = 0;
    while( ( ret = fscanf( svm_setup_fp, " %[^\n,],%f,%f,%f", buf_str, &(buf_data[0]), &(buf_data[1]), &(buf_data[2])) ) != EOF ) {
        
        if ( !strcmp(buf_str,"shiny") ) {
            tmp_sample_label[line] = SHINY;
        } else if ( !strcmp(buf_str,"cloudy") ) {
            tmp_sample_label[line] = CLOUDY;
        } else if ( !strcmp(buf_str,"rainy") ) {
            tmp_sample_label[line] = RAINY;
        } else if ( !strcmp(buf_str,"snowy") ) {
            tmp_sample_label[line] = SNOWY;
        } else {
            continue;
        }

        tmp_sample[line * 3]     = buf_data[0];
        tmp_sample[line * 3 + 1] = buf_data[1];
        tmp_sample[line * 3 + 2] = buf_data[2];

        line++;
    }

    mcsvm = new MCSVM(NUM_WEATHERS, DIM_SIGNAL, MCSVM_NUM_SAMPLES, tmp_sample, tmp_sample_label);

    fclose( svm_setup_fp );
    
    svm_setup_fp = fopen("/local/alpha.csv", "r");
    if ( svm_setup_fp == NULL ) {
        fprintf( stderr, "Error in open learned alpha data. \r\n");
        exit(1);
    }

    // 一列のデータではfscanfフォーマットがだるいので, fgetsを使用
    line = 0;
    while( fgets( buf_str, 20, svm_setup_fp) != NULL ){
        tmp_mc_alpha[line] = atof(buf_str);
        // printf("%d %f \r\n", line, tmp_mc_alpha[line]);
        line++;
    }
    
    mcsvm->set_alpha(tmp_mc_alpha, MCSVM_NUM_SAMPLES, NUM_WEATHERS);
  
    delete [] tmp_sample; delete [] tmp_sample_label; delete [] buf_data;   
    delete [] tmp_mc_alpha; delete [] buf_str; 
    fclose( svm_setup_fp );
    free( svm_setup_fp );   // mbed BUG - we must free file pointer.

}

// SRNNのセットアップ. 初期データのセット.
static void srnn_setup(void)
{
  FILE* srnn_setup_fp;
  int ret;
  float buf_data[DIM_SIGNAL];
  float* sample         = new float[LEN_DATA_SEQUENCE * DIM_SIGNAL];
  float* sample_maxmin  = new float[DIM_SIGNAL * 2];              

  // 信号の正規化のために, 信号の最大値と最小値を決めてやる必要がある.
  sample_maxmin[0] = 50;   sample_maxmin[1] = -20;    // 気温の最大/最小値（想定値）
  sample_maxmin[2] = 1030; sample_maxmin[3] = 960;    // 気圧
  sample_maxmin[4] = 100;  sample_maxmin[5] = 0;      // 湿度

  srnn_setup_fp = fopen( "/local/srnninit.csv" , "r" );
  if( srnn_setup_fp == NULL ){
    fprintf( stderr, "Error in SRNN setup. init sample file cannot open. \r\n");
    exit(1);
  }

  int line = 0;
  while( ( ret = fscanf( srnn_setup_fp, "%f,%f,%f", &(buf_data[0]), &(buf_data[1]), &(buf_data[2])) ) != EOF ){
    memcpy(&(sample[line * DIM_SIGNAL]), buf_data, sizeof(float) * DIM_SIGNAL);
    // printf("sample %d : %f %f %f \r\n", line, MATRIX_AT(sample,DIM_SIGNAL,line,0), MATRIX_AT(sample,DIM_SIGNAL,line,1), MATRIX_AT(sample,DIM_SIGNAL,line,2));
    line++;
  }

  /* アドバイス:RNNにおいては,ダイナミクス(中間層のニューロン数)は多いほど良い */
  srnn = new SRNN(DIM_SIGNAL, 20, LEN_DATA_SEQUENCE, PREDICT_LENGTH, sample, sample_maxmin);
  
  delete [] sample; delete [] sample_maxmin;
  fclose( srnn_setup_fp );
  free( srnn_setup_fp );
}

// センサーのセットアップ.
static void sensor_setup(void)
{
    sm = new SensorModule(5);
    sm->read_all_sensor();
}

// ネットワークのセットアップ
static void network_setup(void)
{
    // セットアップ, 最初の時間取得
}

// セットアップ.
void setup(void)
{
    mcsvm_setup();
    srnn_setup();
    sensor_setup();
    network_setup();
}